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A link function specification test in the single functional index model

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper a test for specification in functional regression with scalar response that exploits semi-parametric principles is illustrated. Once the test statistics is defined, its asymptotic null distribution is derived under suitable conditions. The finite sample performances of the test are analyzed through a simulation study by using both the asymptotic p-value and some bootstrap approaches. To appreciate the potentialities of the method, an application to a spectrometric real dataset is performed.

Original languageEnglish
Pages (from-to)323-354
Number of pages32
JournalAdvances in Data Analysis and Classification
Volume20
Issue number2
DOIs
Publication statusPublished - Jun 2026

Keywords

  • Asymptotic normality
  • Functional data
  • Goodness-of-fit test
  • Single Index model

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